VR BioViewer - A new interactive-visual model to represent medical information

Gracia Berna, Antonio and González, Santiago and Veiga, J. and Robles Forcada, Víctor (2011). VR BioViewer - A new interactive-visual model to represent medical information. In: "The 2011 International Conference on Modeling, Simulation and Visualization Methods", 18/07/2011 - 21/07/2011, Las Vegas, USA. ISBN 1-60132-192-9. pp. 40-46.

Description

Title: VR BioViewer - A new interactive-visual model to represent medical information
Author/s:
  • Gracia Berna, Antonio
  • González, Santiago
  • Veiga, J.
  • Robles Forcada, Víctor
Item Type: Presentation at Congress or Conference (Article)
Event Title: The 2011 International Conference on Modeling, Simulation and Visualization Methods
Event Dates: 18/07/2011 - 21/07/2011
Event Location: Las Vegas, USA
Title of Book: Proceedings of 2011 International Conference on Modeling, Simulation and Visualization Methods
Date: 2011
ISBN: 1-60132-192-9
Volume: 2011
Subjects:
Freetext Keywords: dimensionality reduction, visualization, bioinformatics, manifold learning, virtual reality spaces, cáncer classification, visual data mining, genetic algorithms, similarity structure preservation, genomics.
Faculty: Centro de Supercomputación y Visualización de Madrid (CeSViMa) (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Virtual reality (VR) techniques to understand and obtain conclusions of data in an easy way are being used by the scientific community. However, these techniques are not used frequently for analyzing large amounts of data in life sciences, particularly in genomics, due to the high complexity of data (curse of dimensionality). Nevertheless, new approaches that allow to bring out the real important data characteristics, arise the possibility of constructing VR spaces to visually understand the intrinsic nature of data. It is well known the benefits of representing high dimensional data in tridimensional spaces by means of dimensionality reduction and transformation techniques, complemented with a strong component of interaction methods. Thus, a novel framework, designed for helping to visualize and interact with data about diseases, is presented. In this paper, the framework is applied to the Van't Veer breast cancer dataset is used, while oncologists from La Paz Hospital (Madrid) are interacting with the obtained results. That is to say a first attempt to generate a visually tangible model of breast cancer disease in order to support the experience of oncologists is presented.

More information

Item ID: 25930
DC Identifier: http://oa.upm.es/25930/
OAI Identifier: oai:oa.upm.es:25930
Official URL: http://worldcomp-proceedings.com/proc/proc2011/msv/contents.pdf
Deposited by: Memoria Investigacion
Deposited on: 26 Apr 2015 09:53
Last Modified: 26 Apr 2015 09:54
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